Title:
Energy efficient thermal management of data centers via open multi-scale design

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dc.contributor.advisor Joshi, Yogendra
dc.contributor.advisor Mistree, Farrokh
dc.contributor.author Samadiani, Emad en_US
dc.contributor.committeeMember Hamann, Henik F.
dc.contributor.committeeMember Allen, Janet K.
dc.contributor.committeeMember Iyengar, Madhusudan K.
dc.contributor.committeeMember Schwan, Karsten
dc.contributor.committeeMember Stoesser, Thorsten
dc.contributor.department Mechanical Engineering en_US
dc.date.accessioned 2011-03-04T20:57:51Z
dc.date.available 2011-03-04T20:57:51Z
dc.date.issued 2009-08-20 en_US
dc.description.abstract Data centers are computing infrastructure facilities that house arrays of electronic racks containing high power dissipation data processing and storage equipment whose temperature must be maintained within allowable limits. In this research, the sustainable and reliable operations of the electronic equipment in data centers are shown to be possible through the Open Engineering Systems paradigm. A design approach is developed to bring adaptability and robustness, two main features of open systems, in multi-scale convective systems such as data centers. The presented approach is centered on the integration of three constructs: a) Proper Orthogonal Decomposition (POD) based multi-scale modeling, b) compromise Decision Support Problem (cDSP), and c) robust design to overcome the challenges in thermal-fluid modeling, having multiple objectives, and inherent variability management, respectively. Two new POD based reduced order thermal modeling methods are presented to simulate multi-parameter dependent temperature field in multi-scale thermal/fluid systems such as data centers. The methods are verified to achieve an adaptable, robust, and energy efficient thermal design of an air-cooled data center cell with an annual increase in the power consumption for the next ten years. Also, a simpler reduced order modeling approach centered on POD technique with modal coefficient interpolation is validated against experimental measurements in an operational data center facility. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/37218
dc.publisher Georgia Institute of Technology en_US
dc.subject Data center en_US
dc.subject Proper orthogonal decomposition en_US
dc.subject Open engineering system en_US
dc.subject Energy efficiency en_US
dc.subject Multi-scale thermal modeling en_US
dc.subject Cooling system en_US
dc.subject.lcsh Data processing service centers.
dc.subject.lcsh Heat Transmission
dc.subject.lcsh Waste heat
dc.title Energy efficient thermal management of data centers via open multi-scale design en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Joshi, Yogendra
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 63ef328b-076b-44b7-92a9-0f7dd03fa1fa
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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